Top R Frameworks & Libraries for optimization 36

R package to model Mixed Integer Linear Programs

R Package for Time Series Clustering Along with Optimizations for DTW

Toolbox for Bayesian Optimization and Model-Based Optimization in R

An R modeling language for convex optimization problems.

Random forests for R for large data sets, optimized with parallel tree-growing and disk-based memory

Power analysis is essential to optimize the design of RNA-seq experiments and to assess and compare the power to detect differentially expressed genes. PowsimR is...

🚀 Automatically compile linear algebra R code to C++ with Armadillo

General-Purpose MCMC and SMC Samplers and Tools for Bayesian Statistics

Systematic conservation prioritization in R

Bayesian Optimization of Hyperparameters

Parallelizable Bayesian Optimization in R

An R package for optimization using genetic algorithms

Design of Risk Parity Portfolios

nloptr provides an R interface to NLopt, a free/open-source library for nonlinear optimization providing a common interface to a number of different optimization r...

Package: The R Code Optimizer

Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems

R package to tune parameters for machine learning(Support Vector Machine, Random Forest, and Xgboost), using bayesian optimization with gaussian process...

An R package of utilities for benchmarking and optimization

R based marketing attribution and basic budget optimization using Markov Chains